On Knowledge Structures Reduction

Snášel, Václav; Polovincak, Martin; Dahwa, H.M.; Horák, Zdeněk

doi:10.1109/cisim.2008.65

Cited by 9 publications

(1 citation statement)

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“…But since we are dealing with a large volume of data ( [7]) and a very imprecise environment, we should consider several practical issues, which have to be solved prior to the first application. Methods of matrix decomposition have succeeded in reducing the dimensions of input data (Please consult [24] for application connected with Formal concept analysis and [18], [17] for a quick overview).…”

Section: Formal Concept Analysismentioning

confidence: 99%

Social Aspects of Web Page Contents

Kudělka

Snášel

Horák

et al. 2009

2009 International Conference on Computational Aspects of Social Networks

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In this paper we try to consider a Web page as information with social aspects. Each Web page is the result of invisible social interaction. This interaction between different groups of people translates into a certain unification of Web page creation. External signs of this unification are the features of the Web page, that meets the user's expectations. Through analysis of the features, we can obtain information that can simply describe the Web page. This simple description contains strong information about the social group the page is intended for. If the user uses this information to refine the search, then he identifies himself as a member of a certain social group. For the description of the social aspects of Web pages we use the term MicroGenre. This paper describes the fundamental concepts of MicroGenre and also illustrate experiments for the detection and usage of MicroGenres.

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Section: Formal Concept Analysismentioning

confidence: 99%